| --- |
| language: |
| - rw |
| - en |
| task_categories: |
| - translation |
| - text-classification |
| - text-generation |
| - token-classification |
| pretty_name: Kinyarwanda post-training (Walia-style instruction data) |
| size_categories: |
| - 1M<n<10M |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: validation |
| path: data/validation-* |
| --- |
| |
| # kin-post-training |
|
|
| Kinyarwanda instruction / chat data compiled from public datasets in the style of Walia-LLM (Azime et al., 2024, |
| arXiv:2402.08015): task datasets (translation, classification, tagging, NER, generation) are converted to instructions |
| using many paraphrased templates, and existing instruction / chat sets are added as-is. |
|
|
| **1,002,844 train / 3,743 validation rows.** Validation is a random per-task holdout (0.5%, 20-1000 rows per task). |
|
|
| ## Columns |
| `id`, `source`, `task`, `instruction_lang` (`kin` or `en` = language of the template, `native` = source already an instruction/chat set), |
| `instruction`, `input`, `output`, `messages` (chat form: list of role/content dicts, multi-turn for chat sources). |
|
|
| ## Tasks |
| | task | rows | |
| |---|---| |
| | translation_kin_en | 336,742 | |
| | translation_en_kin | 336,288 | |
| | code_chat | 176,678 | |
| | chat | 43,321 | |
| | instruction_following | 41,601 | |
| | text_continuation | 40,271 | |
| | news_topic_classification | 9,075 | |
| | sentiment_analysis | 6,536 | |
| | article_generation | 5,916 | |
| | title_generation | 5,916 | |
| | intent_classification | 2,240 | |
| | topic_classification | 800 | |
| | pos_tagging | 753 | |
| | question_answering | 255 | |
| | named_entity_recognition | 195 | |
|
|
| ## Sources |
| | source key | dataset | note | |
| |---|---|---| |
| | du_gazette | DigitalUmuganda/NMT_Rwandan-Gazette_parallel_data_en_kin | human-validated en-kin legal gazette parallel text | |
| | du_health | DigitalUmuganda/NMT_Health_parallel_data_en_kin | human translations, health domain | |
| | rogerb_du | RogerB/kin_en_DigitalUmuganda | en-kin sentence pairs (Digital Umuganda) | |
| | kira_en_rw | Kira-Floris/cross-lingual-translation-en-kin-parquet | en-kin translation instructions (150k sample of 492k) | |
| | smalltalk_phrases | map-boy/kinyarwanda-dialogue-dataset | short small-talk phrase pairs | |
| | code170k_kin | michsethowusu/Code-170k-kinyarwanda | machine-translated code Q&A chat | |
| | alpaca_kin | saillab/alpaca-kinyarwanda-cleaned | machine-translated Alpaca | |
| | kakugo_kin | ptrdvn/kakugo-kin | synthetic LLM chat (reasoning <think> blocks removed) | |
| | african_ultrachat | masakhane/african-ultrachat | multi-turn chat | |
| | mbaza_mono | mbazaNLP/kinyarwanda_monolingual_v01.0 | monolingual text -> text continuation (40k sample) | |
| | wikipedia_rw | wikimedia/wikipedia (20231101.rw) | Wikipedia -> article/title/continuation tasks | |
| | kinnews | KoseiUemura/KinNewsClassification (kinnews_cleaned) | news topic classification (14 classes) | |
| | sib200 | Davlan/sib200 (kin_Latn) | topic classification (7 classes) | |
| | injongo_intent | masakhane/InjongoIntent (kin) | intent classification (40 intents) | |
| | masakhapos | masakhane/masakhapos (kin) | UPOS tagging | |
| | wikiann | unimelb-nlp/wikiann (rw) | named entity recognition | |
| | aya_ | CohereLabs/aya_collection_language_split (kinyarwanda) | AfriSenti sentiment + AfriQA (instructions in English) | |
| |
| ## Known limitations (please read) |
| - **The Kinyarwanda instruction templates (`templates.json`) were drafted by an AI model and have not been reviewed by a native speaker.** |
| - Quality varies by source: `code170k_kin` and `alpaca_kin` are machine-translated; `kakugo_kin` is synthetic; `kira_en_rw` mixes |
| human and machine translations. Use the `source` column to filter or reweight. |
| - Excluded after inspection: `Helsinki-NLP/opus-100 en-rw` (noisy machine-translated software strings) and |
| `mbazaNLP/Kinyarwanda_English_parallel_dataset` (English side is lower-cased Bible text with stopwords removed). |
| - Gated or unreadable sources were not included. Licenses differ per source; check each source dataset before commercial use. |
| - Only exact duplicates were removed (per task direction); there may be near-duplicates and overlap between sources. Test splits |
| of source datasets were not used, but SIB-200 `dev` and WikiANN `validation` were, so do not evaluate on those. |
|
|
